Is GitGhost only for developers?

No. Developers get serious git, review, pipeline, and security workflows. Non-technical builders can still describe work, follow progress, and review outcomes without learning every DevOps tool first.

Can I use my own coding agent?

That is the direction of the platform. The local agent bridge is designed so users can connect favorite coding agents and let GitGhost capture sessions, patches, checkpoints, and governed action requests.

Will agents be allowed to change production code automatically?

Not by default. GitGhost is built around policies, approvals, merge requests, security gates, and audit trails so teams can decide what agents may do.

How is this different from a normal git host?

A normal git host records code after people do the work. GitGhost is designed to coordinate the work itself: AI chat, coding-agent sessions, patches, pipelines, security scans, approvals, and project evidence in one place.

What is available in beta?

The beta focuses on project hosting, AI chat, local agent session visibility, pipeline and security workflows, and the approval/evidence experience. Some hosted-agent and enterprise controls will expand gradually.

Beta workspace for people and coding agents

Build software with AI agents, without losing control.

GitGhost brings repositories, issues, merge requests, pipelines, security scans, AI chat, and your favorite coding agents into one governed workspace. Describe the work, let agents help, review the evidence, then ship with confidence.

Join the private beta See the product tour

Private beta now openBring your favorite coding agentHuman approval for risky workSecurity evidence before merge

Agent work rail

Launch checkout MVP

review ready

Prompt

“Create a checkout flow, add tests, scan dependencies, and prepare the merge request.”

Session connected

Patch proposed

Security scan passed

Pipeline evidence attached

Human approval required before merge

Product showcase

Explore the real GitGhost surfaces behind the pitch.

See the product areas beta users actually work inside: repository hosting, AI chat, local agent sessions, merge review, pipelines, security, and activity evidence in one connected workspace.

gitghost.ai/dashboard/projects/:id

product map

Project repository

Browse, edit, branch, clone, and understand the repo.

This mirrors the real project page: file tree, README preview, branch controls, commit context, clone actions, and project tabs that connect the repo to issues, merge requests, pipelines, and security.

FilesCommitsBranches

FilesCommitsBranchesMerge requestsPipelinesSecurity

File tree

src/

src/App.jsx

src/index.css

package.json

README.md

main

Todo app

React app generated by a connected coding agent, committed on an AI branch, and ready for review.

Why GitGhost exists

Coding changed. The git platform should change too.

AI agents can now write code, run commands, fix issues, and explain work. But teams still need ownership, review, security, and auditability. GitGhost is the workspace where both sides meet.

For founders and builders

Describe the product you want, turn the work into issues, let agents build, and review the result without becoming a DevOps expert.

AI chat for product requests
Guided project setup
Readable work evidence

For developers

Keep using Claude Code, Cursor, Codex, Gemini, OpenCode, or your own tools while GitGhost tracks the session, diff, approval, and merge path.

Local agent bridge
Patch proposals
Session checkpoints

For teams that need control

Move faster without giving agents broad credentials. Policies, approvals, scans, and audit trails stay attached to every important change.

Project policies
Security gates
Permission-aware workflows

Platform capabilities

One workspace from prompt to protected merge.

No more jumping between chat, local terminals, git hosting, CI logs, security tools, and spreadsheets to understand what happened.

Code hosting that understands agent work

Repos, branches, issues, merge requests, comments, and activity live next to the AI sessions that created the work.

Ask AI to do real work

Create issues, inspect projects, propose patches, request reviews, prepare merge requests, and hand off tasks to local or hosted agents.

Pipelines without YAML first

Build and test projects with a pipeline engine designed for isolated runners, evidence, retries, logs, and future deployment gates.

Security from the first commit

Run code, dependency, secret, infrastructure, and web checks, then turn actionable findings into alerts or reviewed update requests.

Project memory with provenance

GitGhost remembers sessions, transcripts, checkpoints, approvals, and outcomes so teams can understand why a change happened.

Built for mixed teams

Technical and non-technical users can plan work together while developers keep the merge, policy, and review controls they expect.

Your agents, one control surface

Let people choose the agent. Let GitGhost govern the work.

The future is not one assistant. It is many agents, each with different strengths. GitGhost is being built to wrap them in a consistent workflow: connect, capture, review, approve, merge.

Claude Code

Cursor

Codex

Gemini

OpenCode

Claude Code

Cursor

Codex

Gemini

OpenCode

Local session

feature/checkout-polish

connected

Transcript captured

Checkpoint saved

Patch proposal created

Approval request linked

What reviewers actually see

Every agent change comes with receipts.

The point is not to let AI run wild. The point is to make AI work easy to inspect, approve, reproduce, and merge.

Agent transcript

What was asked, what the agent tried, what it changed, and where it paused for approval.

Prompt captured

Tool calls summarized

Checkpoint saved

Merge request context

Diff, issue link, reviewers, approvals, and generated summary stay attached to the code change.

Files changed

Review comments

Approval state

Pipeline proof

Build logs, test results, artifacts, retry state, and failure reasons are visible before merge.

Build passed

Tests passed

Artifacts attached

Security gate

Security findings, dependency risk, secrets, and policy decisions are visible in the same review flow.

No leaked secrets

Dependencies checked

Policy evaluated

Trust by design

Fast does not have to mean reckless.

GitGhost treats AI like a powerful teammate, not a magic admin account. The platform is shaped around least privilege, visible approvals, security evidence, and traceable decisions.

Agents get project-scoped access, not your whole account

Risky actions can require human approval before execution

Secrets and user credentials stay isolated from agent prompts

Security scans and update proposals are visible before merge

Every agent session keeps a trail of checkpoints and decisions

How it works

From idea to merge request, with the story attached.

Start with an idea or repo

Create a project, import a repository, or describe what you want to build in the AI workspace.

Choose how agents work

Use GitGhost chat, connect a local coding agent, or prepare for hosted agents when your project policy allows it.

Review the evidence

See transcripts, checkpoints, changed files, requested actions, security results, and pipeline status before anything important merges.

Merge with confidence

Approve the patch, run checks, keep the audit trail, and ship from one place instead of stitching five tools together.

Why switch

Not another DevOps tab. A new operating layer for agentic software work.

Old flow

Chat in one place, code somewhere else, CI in another tab, security in a backlog, and no clear trail for what the agent did.

GitGhost flow

Agent sessions, patches, approvals, scans, pipelines, and merge evidence stay connected to the project from the first prompt.

Questions

What beta users usually ask first.

Ready to build with agents instead of chasing toolchains?

Join the beta, create your first project, and see how GitGhost turns AI work into reviewable software delivery.

Create my beta account I already have access